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Sensor Fusion Techniques Applied to Deficiency Detection Improvement

Team

Grace Jenifer John Stephen Doss, Chesta Patel, Devanshi Patel, Lakshya Bhvaskar

Categories

Artificial Intelligence, Big Data/Business Intelligence, Cloud, Data Analysis, Deep Learning, GPS, Machine Learning, Python

Overview

  • The project aims to revolutionize deficiency detection on sidewalks by leveraging sensor fusion techniques and autonomous robots.
  • By integrating lidar and RealSense camera technology, to enhance the accuracy and efficiency of identifying gaps, cracks, potholes, and other anomalies in sidewalk infrastructure.

Sensor Fusion Techniques Applied to Deficiency Detection

Sensor Fusion Techniques Applied to Deficiency Detection project video thumbnail

Project Poster

Sensor Fusion Techniques Applied to Deficiency Detection Project poster

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Big Data/Business Intelligence, Cloud, Data Analysis, Deep Learning, GPS, Machine Learning, Python